vehicle-Tracking-System-Comeplte-Web-Application

Hi i have attached facts controller

this demo provide to better understanding GVF Snake

music 算法在对信号频率的搜索上有很好的优越性，近场music(music algorithm in the frequency of the signal on a good search the superiority of the near-field music)

Application of rule d nearest neighbor to build the partition of the Vornoi

说明：  包含两个功能的源程序： 1 学生面试问题（如何实现老师面试学生人数的合理规划）。 2 JPDA算法的matlab实现。(The source code contains two functions: a student interview questions (a teacher interview how to achieve a reasonable number of students planning). 2 JPDA algorithm matlab implementation.)

这个简单的GUI程序，介绍了模糊逻辑的运行原理。程序中只用了两个隶属函数，如果你对其有什么改进的，我很欢迎。(Please open FA1.fig file first in and press help button to get knowledge about this GUI. In this I have used only two membership function, Trapmf, and Tirmf, And I tried maximum to cover all the errors.Any improvement is heartly accepted.)

用于文本语义分析的潜在语义分析算法LSA(Latent Semantic Analysis)，包含详细的函数说明，原理分析及数据。相比原来版本的LSA，增加了文件demo.m以增加可视化效果，更有利于读者使用。(-Semantic Analysis for Text of Latent Semantic Analysis Algorithm LSA (Latent Semantic Analysis), contains a detailed description, principles of function analysis and data. Run demo.m can see the visualization effect.)

5个粒子滤波必会实例，其中4个为网页版，有应用介绍(particle Filter Examples)

包括图像分析的四部分代码：matlab扩散和高斯函数，线性扩散，线性复扩散，非线性扩散。(It contains four parts： [1]MATLAB function:diffusion.m gauss.m [2]Linear diffusion Applying linear diffusion to images creating linear scale-space. MATLAB code: demo_lin.m Image: haifa1.bmp [3]Linear complex diffusion Applying linear complex diffusion creating Gaussian and Laplacian scale-spaces. MATLAB code: demo_cmplin.m [4]Nonlinear diffusions: Perona-Malik ["Anisotropic diffusion"] Catte et al. regularization of P-M Complex ramp-preserving diffusion Nonlinear edge preserving diffusions.The classical Perona-Malik process: the value of the diffusion coefficient is reduced near edges estimated by the first derivative. Best applied to step edges. A regularized version by Catte et al- the gradient estimation for controlling the process is smoothed by a Gaussian. Proved to be mathematically well-posed. Ramp preserving complex diffusion- best for ramp-type edges. Results are smoother with almost no staircasing effects. MATLAB code: demo_nldif.m Image: ct_scan.bmp)

1)football.m简单地以阵列形式显示一副图； 2）pre.m是心音信号过滤归一化预处理的过程； 3）wavlet.m是用db6小波进行信号的分解和重构，且求包络能量函数； 4）path.m是利用KKT条件的路径跟踪法，用于求解二次规划问题； 5）LRmmse是MIMO通信中常用检测方法，结合了最小均方误差准则和格基规约的知识。(1) football.m simply displays a graph in an array 2) pre.m is the process of normalized preprocessing of heart sound signal filtering 3) wavlet.m is a db6 wavelet for signal decomposition and reconstruction, and to find the envelope energy function 4) path.m is the path tracking method using KKT condition, which is used to solve the quadratic programming problem. 5) LRmmse is a commonly used detection method in MIMO communication, combining the knowledge of minimum mean square error criterion and lattice protocol.)